How to use tom-010/judge_answer___38_deberta_base_ensample_2-01 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="tom-010/judge_answer___38_deberta_base_ensample_2-01")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("tom-010/judge_answer___38_deberta_base_ensample_2-01") model = AutoModel.from_pretrained("tom-010/judge_answer___38_deberta_base_ensample_2-01", device_map="auto")
https://huggingface.co/tom-010/judge_answer___38_deberta_base_ensample_2-01/resolve/main/tokenizer.json
hf download hf://tom-010/judge_answer___38_deberta_base_ensample_2-01/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/tom-010/judge_answer___38_deberta_base_ensample_2-01/resolve/main/tokenizer.json
